Overview

Dataset statistics

Number of variables41
Number of observations125973
Missing cells0
Missing cells (%)0.0%
Duplicate rows8
Duplicate rows (%)< 0.1%
Total size in memory39.4 MiB
Average record size in memory328.0 B

Variable types

Numeric30
Categorical11

Alerts

Dataset has 8 (< 0.1%) duplicate rowsDuplicates
service is highly overall correlated with protocol_type and 2 other fieldsHigh correlation
flag is highly overall correlated with src_bytes and 16 other fieldsHigh correlation
src_bytes is highly overall correlated with flag and 11 other fieldsHigh correlation
dst_bytes is highly overall correlated with flag and 9 other fieldsHigh correlation
hot is highly overall correlated with num_compromised and 1 other fieldsHigh correlation
num_compromised is highly overall correlated with hotHigh correlation
count is highly overall correlated with flag and 13 other fieldsHigh correlation
srv_count is highly overall correlated with count and 1 other fieldsHigh correlation
serror_rate is highly overall correlated with flag and 11 other fieldsHigh correlation
srv_serror_rate is highly overall correlated with flag and 10 other fieldsHigh correlation
rerror_rate is highly overall correlated with flag and 3 other fieldsHigh correlation
srv_rerror_rate is highly overall correlated with flag and 3 other fieldsHigh correlation
same_srv_rate is highly overall correlated with flag and 15 other fieldsHigh correlation
diff_srv_rate is highly overall correlated with flag and 12 other fieldsHigh correlation
dst_host_count is highly overall correlated with count and 5 other fieldsHigh correlation
dst_host_srv_count is highly overall correlated with flag and 10 other fieldsHigh correlation
dst_host_same_srv_rate is highly overall correlated with flag and 14 other fieldsHigh correlation
dst_host_diff_srv_rate is highly overall correlated with flag and 7 other fieldsHigh correlation
dst_host_same_src_port_rate is highly overall correlated with count and 3 other fieldsHigh correlation
dst_host_srv_diff_host_rate is highly overall correlated with count and 3 other fieldsHigh correlation
dst_host_serror_rate is highly overall correlated with flag and 12 other fieldsHigh correlation
dst_host_srv_serror_rate is highly overall correlated with flag and 9 other fieldsHigh correlation
dst_host_rerror_rate is highly overall correlated with rerror_rate and 2 other fieldsHigh correlation
dst_host_srv_rerror_rate is highly overall correlated with flag and 3 other fieldsHigh correlation
protocol_type is highly overall correlated with service and 1 other fieldsHigh correlation
logged_in is highly overall correlated with service and 6 other fieldsHigh correlation
is_guest_login is highly overall correlated with hotHigh correlation
attack is highly overall correlated with service and 10 other fieldsHigh correlation
land is highly imbalanced (99.7%)Imbalance
wrong_fragment is highly imbalanced (95.1%)Imbalance
urgent is highly imbalanced (99.9%)Imbalance
root_shell is highly imbalanced (98.5%)Imbalance
su_attempted is highly imbalanced (99.8%)Imbalance
num_shells is highly imbalanced (99.7%)Imbalance
is_host_login is highly imbalanced (> 99.9%)Imbalance
is_guest_login is highly imbalanced (92.3%)Imbalance
src_bytes is highly skewed (γ1 = 190.669347)Skewed
dst_bytes is highly skewed (γ1 = 290.0529108)Skewed
num_failed_logins is highly skewed (γ1 = 53.7644243)Skewed
num_compromised is highly skewed (γ1 = 250.1078834)Skewed
num_root is highly skewed (γ1 = 236.913724)Skewed
num_file_creations is highly skewed (γ1 = 55.66534083)Skewed
num_access_files is highly skewed (γ1 = 45.55496112)Skewed
duration has 115955 (92.0%) zerosZeros
src_bytes has 49392 (39.2%) zerosZeros
dst_bytes has 67967 (54.0%) zerosZeros
hot has 123302 (97.9%) zerosZeros
num_failed_logins has 125851 (99.9%) zerosZeros
num_compromised has 124687 (99.0%) zerosZeros
num_root has 125324 (99.5%) zerosZeros
num_file_creations has 125686 (99.8%) zerosZeros
num_access_files has 125602 (99.7%) zerosZeros
serror_rate has 86829 (68.9%) zerosZeros
srv_serror_rate has 88754 (70.5%) zerosZeros
rerror_rate has 109783 (87.1%) zerosZeros
srv_rerror_rate has 109767 (87.1%) zerosZeros
same_srv_rate has 2766 (2.2%) zerosZeros
diff_srv_rate has 76217 (60.5%) zerosZeros
srv_diff_host_rate has 97574 (77.5%) zerosZeros
dst_host_same_srv_rate has 6927 (5.5%) zerosZeros
dst_host_diff_srv_rate has 46989 (37.3%) zerosZeros
dst_host_same_src_port_rate has 63023 (50.0%) zerosZeros
dst_host_srv_diff_host_rate has 86904 (69.0%) zerosZeros
dst_host_serror_rate has 81386 (64.6%) zerosZeros
dst_host_srv_serror_rate has 85360 (67.8%) zerosZeros
dst_host_rerror_rate has 103178 (81.9%) zerosZeros
dst_host_srv_rerror_rate has 106616 (84.6%) zerosZeros

Reproduction

Analysis started2023-09-05 12:45:11.854563
Analysis finished2023-09-05 12:47:59.254917
Duration2 minutes and 47.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

duration
Real number (ℝ)

ZEROS 

Distinct2981
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean287.14465
Minimum0
Maximum42908
Zeros115955
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:47:59.365884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum42908
Range42908
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2604.5153
Coefficient of variation (CV)9.0703947
Kurtosis156.07681
Mean287.14465
Median Absolute Deviation (MAD)0
Skewness11.88023
Sum36172473
Variance6783500
MonotonicityNot monotonic
2023-09-05T14:47:59.504882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115955
92.0%
1 1989
 
1.6%
2 843
 
0.7%
3 557
 
0.4%
4 351
 
0.3%
5 298
 
0.2%
27 197
 
0.2%
6 193
 
0.2%
28 181
 
0.1%
7 127
 
0.1%
Other values (2971) 5282
 
4.2%
ValueCountFrequency (%)
0 115955
92.0%
1 1989
 
1.6%
2 843
 
0.7%
3 557
 
0.4%
4 351
 
0.3%
5 298
 
0.2%
6 193
 
0.2%
7 127
 
0.1%
8 98
 
0.1%
9 95
 
0.1%
ValueCountFrequency (%)
42908 1
< 0.1%
42888 1
< 0.1%
42862 1
< 0.1%
42837 1
< 0.1%
42804 1
< 0.1%
42778 1
< 0.1%
42746 1
< 0.1%
42723 1
< 0.1%
42699 1
< 0.1%
42679 1
< 0.1%

protocol_type
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
1.0
102689 
2.0
14993 
0.0
 
8291

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters377919
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 102689
81.5%
2.0 14993
 
11.9%
0.0 8291
 
6.6%

Length

2023-09-05T14:47:59.630884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:47:59.755530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.0 102689
81.5%
2.0 14993
 
11.9%
0.0 8291
 
6.6%

Most occurring characters

ValueCountFrequency (%)
0 134264
35.5%
. 125973
33.3%
1 102689
27.2%
2 14993
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 251946
66.7%
Other Punctuation 125973
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 134264
53.3%
1 102689
40.8%
2 14993
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 125973
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 377919
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 134264
35.5%
. 125973
33.3%
1 102689
27.2%
2 14993
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 377919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 134264
35.5%
. 125973
33.3%
1 102689
27.2%
2 14993
 
4.0%

service
Real number (ℝ)

HIGH CORRELATION 

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.226469
Minimum0
Maximum69
Zeros187
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:47:59.866525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q120
median24
Q349
95-th percentile60
Maximum69
Range69
Interquartile range (IQR)29

Descriptive statistics

Standard deviation16.34647
Coefficient of variation (CV)0.52348121
Kurtosis-0.98242756
Mean31.226469
Median Absolute Deviation (MAD)10
Skewness0.45260905
Sum3933692
Variance267.20708
MonotonicityNot monotonic
2023-09-05T14:48:00.003496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 40338
32.0%
49 21853
17.3%
12 9043
 
7.2%
54 7313
 
5.8%
20 6860
 
5.4%
14 4586
 
3.6%
44 4359
 
3.5%
15 3077
 
2.4%
60 2353
 
1.9%
18 1767
 
1.4%
Other values (60) 24424
19.4%
ValueCountFrequency (%)
0 187
 
0.1%
1 73
 
0.1%
2 862
0.7%
3 2
 
< 0.1%
4 955
0.8%
5 710
0.6%
6 734
0.6%
7 545
0.4%
8 563
0.4%
9 521
0.4%
ValueCountFrequency (%)
69 693
 
0.6%
68 617
 
0.5%
67 689
 
0.5%
66 780
 
0.6%
65 602
 
0.5%
64 10
 
< 0.1%
63 654
 
0.5%
62 8
 
< 0.1%
61 3
 
< 0.1%
60 2353
1.9%

flag
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9799957
Minimum0
Maximum10
Zeros46
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:00.130525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q39
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6893649
Coefficient of variation (CV)0.38529606
Kurtosis-0.35072558
Mean6.9799957
Median Absolute Deviation (MAD)0
Skewness-0.94963807
Sum879291
Variance7.2326834
MonotonicityNot monotonic
2023-09-05T14:48:00.231525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
9 74945
59.5%
5 34851
27.7%
1 11233
 
8.9%
4 2421
 
1.9%
2 1562
 
1.2%
6 365
 
0.3%
10 271
 
0.2%
7 127
 
0.1%
3 103
 
0.1%
8 49
 
< 0.1%
ValueCountFrequency (%)
0 46
 
< 0.1%
1 11233
 
8.9%
2 1562
 
1.2%
3 103
 
0.1%
4 2421
 
1.9%
5 34851
27.7%
6 365
 
0.3%
7 127
 
0.1%
8 49
 
< 0.1%
9 74945
59.5%
ValueCountFrequency (%)
10 271
 
0.2%
9 74945
59.5%
8 49
 
< 0.1%
7 127
 
0.1%
6 365
 
0.3%
5 34851
27.7%
4 2421
 
1.9%
3 103
 
0.1%
2 1562
 
1.2%
1 11233
 
8.9%

src_bytes
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct3341
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45566.743
Minimum0
Maximum1.3799639 × 109
Zeros49392
Zeros (%)39.2%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:00.352525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median44
Q3276
95-th percentile1480
Maximum1.3799639 × 109
Range1.3799639 × 109
Interquartile range (IQR)276

Descriptive statistics

Standard deviation5870331.2
Coefficient of variation (CV)128.82929
Kurtosis39354.121
Mean45566.743
Median Absolute Deviation (MAD)44
Skewness190.66935
Sum5.7401793 × 109
Variance3.4460788 × 1013
MonotonicityNot monotonic
2023-09-05T14:48:00.493243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49392
39.2%
8 3691
 
2.9%
1 2432
 
1.9%
44 2334
 
1.9%
45 2089
 
1.7%
1032 2001
 
1.6%
46 1294
 
1.0%
43 1284
 
1.0%
105 998
 
0.8%
147 948
 
0.8%
Other values (3331) 59510
47.2%
ValueCountFrequency (%)
0 49392
39.2%
1 2432
 
1.9%
4 2
 
< 0.1%
5 28
 
< 0.1%
6 147
 
0.1%
7 107
 
0.1%
8 3691
 
2.9%
9 199
 
0.2%
10 195
 
0.2%
11 76
 
0.1%
ValueCountFrequency (%)
1379963888 1
< 0.1%
1167519497 1
< 0.1%
693375640 1
< 0.1%
621568663 1
< 0.1%
381709090 1
< 0.1%
217277339 1
< 0.1%
89581520 1
< 0.1%
24418776 1
< 0.1%
21945520 1
< 0.1%
18828976 1
< 0.1%

dst_bytes
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct9326
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19779.114
Minimum0
Maximum1.3099374 × 109
Zeros67967
Zeros (%)54.0%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:00.643244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3516
95-th percentile8314
Maximum1.3099374 × 109
Range1.3099374 × 109
Interquartile range (IQR)516

Descriptive statistics

Standard deviation4021269.2
Coefficient of variation (CV)203.30886
Kurtosis90941.735
Mean19779.114
Median Absolute Deviation (MAD)0
Skewness290.05291
Sum2.4916344 × 109
Variance1.6170606 × 1013
MonotonicityNot monotonic
2023-09-05T14:48:00.794806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67967
54.0%
105 1497
 
1.2%
8314 888
 
0.7%
330 528
 
0.4%
331 512
 
0.4%
44 511
 
0.4%
42 478
 
0.4%
328 470
 
0.4%
332 469
 
0.4%
4 454
 
0.4%
Other values (9316) 52199
41.4%
ValueCountFrequency (%)
0 67967
54.0%
1 22
 
< 0.1%
3 1
 
< 0.1%
4 454
 
0.4%
5 4
 
< 0.1%
6 1
 
< 0.1%
12 1
 
< 0.1%
14 1
 
< 0.1%
15 47
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
1309937401 1
< 0.1%
400291060 2
< 0.1%
7028652 1
< 0.1%
5155468 1
< 0.1%
5153771 1
< 0.1%
5153460 1
< 0.1%
5151385 1
< 0.1%
5151154 1
< 0.1%
5151049 1
< 0.1%
5150938 1
< 0.1%

land
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
125948 
1
 
25

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 125948
> 99.9%
1 25
 
< 0.1%

Length

2023-09-05T14:48:00.919772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:01.020807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 125948
> 99.9%
1 25
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 125948
> 99.9%
1 25
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125948
> 99.9%
1 25
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125948
> 99.9%
1 25
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125948
> 99.9%
1 25
 
< 0.1%

wrong_fragment
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
124883 
3
 
884
1
 
206

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 124883
99.1%
3 884
 
0.7%
1 206
 
0.2%

Length

2023-09-05T14:48:01.108806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:01.210806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 124883
99.1%
3 884
 
0.7%
1 206
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 124883
99.1%
3 884
 
0.7%
1 206
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 124883
99.1%
3 884
 
0.7%
1 206
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 124883
99.1%
3 884
 
0.7%
1 206
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 124883
99.1%
3 884
 
0.7%
1 206
 
0.2%

urgent
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
125964 
1
 
5
2
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 125964
> 99.9%
1 5
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%

Length

2023-09-05T14:48:01.297807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:01.399808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 125964
> 99.9%
1 5
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 125964
> 99.9%
1 5
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125964
> 99.9%
1 5
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125964
> 99.9%
1 5
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125964
> 99.9%
1 5
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%

hot
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20440888
Minimum0
Maximum77
Zeros123302
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:01.500806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum77
Range77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1499684
Coefficient of variation (CV)10.51798
Kurtosis168.01426
Mean0.20440888
Median Absolute Deviation (MAD)0
Skewness12.589886
Sum25750
Variance4.6223643
MonotonicityNot monotonic
2023-09-05T14:48:01.621773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 123302
97.9%
2 1037
 
0.8%
1 369
 
0.3%
28 277
 
0.2%
30 256
 
0.2%
4 173
 
0.1%
6 140
 
0.1%
5 76
 
0.1%
24 68
 
0.1%
19 57
 
< 0.1%
Other values (18) 218
 
0.2%
ValueCountFrequency (%)
0 123302
97.9%
1 369
 
0.3%
2 1037
 
0.8%
3 54
 
< 0.1%
4 173
 
0.1%
5 76
 
0.1%
6 140
 
0.1%
7 5
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
77 1
 
< 0.1%
44 2
 
< 0.1%
33 1
 
< 0.1%
30 256
0.2%
28 277
0.2%
25 2
 
< 0.1%
24 68
 
0.1%
22 55
 
< 0.1%
21 1
 
< 0.1%
20 9
 
< 0.1%

num_failed_logins
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0012224842
Minimum0
Maximum5
Zeros125851
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:01.729805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.045239139
Coefficient of variation (CV)37.005909
Kurtosis3869.0693
Mean0.0012224842
Median Absolute Deviation (MAD)0
Skewness53.764424
Sum154
Variance0.0020465797
MonotonicityNot monotonic
2023-09-05T14:48:01.824556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 125851
99.9%
1 104
 
0.1%
2 9
 
< 0.1%
3 5
 
< 0.1%
4 3
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 125851
99.9%
1 104
 
0.1%
2 9
 
< 0.1%
3 5
 
< 0.1%
4 3
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
5 1
 
< 0.1%
4 3
 
< 0.1%
3 5
 
< 0.1%
2 9
 
< 0.1%
1 104
 
0.1%
0 125851
99.9%

logged_in
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
76121 
1
49852 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 76121
60.4%
1 49852
39.6%

Length

2023-09-05T14:48:01.928555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:02.031554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 76121
60.4%
1 49852
39.6%

Most occurring characters

ValueCountFrequency (%)
0 76121
60.4%
1 49852
39.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 76121
60.4%
1 49852
39.6%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 76121
60.4%
1 49852
39.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 76121
60.4%
1 49852
39.6%

num_compromised
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct88
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27925032
Minimum0
Maximum7479
Zeros124687
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:02.141521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7479
Range7479
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.942042
Coefficient of variation (CV)85.736849
Kurtosis75956.228
Mean0.27925032
Median Absolute Deviation (MAD)0
Skewness250.10788
Sum35178
Variance573.22139
MonotonicityNot monotonic
2023-09-05T14:48:02.280303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 124687
99.0%
1 976
 
0.8%
2 98
 
0.1%
4 40
 
< 0.1%
3 38
 
< 0.1%
6 19
 
< 0.1%
5 17
 
< 0.1%
7 5
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
Other values (78) 87
 
0.1%
ValueCountFrequency (%)
0 124687
99.0%
1 976
 
0.8%
2 98
 
0.1%
3 38
 
< 0.1%
4 40
 
< 0.1%
5 17
 
< 0.1%
6 19
 
< 0.1%
7 5
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
7479 1
< 0.1%
1739 1
< 0.1%
1043 1
< 0.1%
884 2
< 0.1%
809 1
< 0.1%
789 1
< 0.1%
767 1
< 0.1%
761 1
< 0.1%
756 1
< 0.1%
751 1
< 0.1%

root_shell
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
125804 
1
 
169

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 125804
99.9%
1 169
 
0.1%

Length

2023-09-05T14:48:02.411268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:02.510268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 125804
99.9%
1 169
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 125804
99.9%
1 169
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125804
99.9%
1 169
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125804
99.9%
1 169
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125804
99.9%
1 169
 
0.1%

su_attempted
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
125952 
1
 
21

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 125952
> 99.9%
1 21
 
< 0.1%

Length

2023-09-05T14:48:02.600302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:02.701271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 125952
> 99.9%
1 21
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 125952
> 99.9%
1 21
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125952
> 99.9%
1 21
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125952
> 99.9%
1 21
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125952
> 99.9%
1 21
 
< 0.1%

num_root
Real number (ℝ)

SKEWED  ZEROS 

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30219174
Minimum0
Maximum7468
Zeros125324
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:02.805305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7468
Range7468
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.399618
Coefficient of variation (CV)80.742174
Kurtosis70070.209
Mean0.30219174
Median Absolute Deviation (MAD)0
Skewness236.91372
Sum38068
Variance595.34136
MonotonicityNot monotonic
2023-09-05T14:48:02.944017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 125324
99.5%
1 273
 
0.2%
9 121
 
0.1%
6 99
 
0.1%
2 33
 
< 0.1%
5 24
 
< 0.1%
4 12
 
< 0.1%
3 7
 
< 0.1%
7 2
 
< 0.1%
857 2
 
< 0.1%
Other values (72) 76
 
0.1%
ValueCountFrequency (%)
0 125324
99.5%
1 273
 
0.2%
2 33
 
< 0.1%
3 7
 
< 0.1%
4 12
 
< 0.1%
5 24
 
< 0.1%
6 99
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
9 121
 
0.1%
ValueCountFrequency (%)
7468 1
< 0.1%
1743 1
< 0.1%
1045 1
< 0.1%
993 1
< 0.1%
975 1
< 0.1%
889 1
< 0.1%
867 1
< 0.1%
857 2
< 0.1%
849 1
< 0.1%
841 1
< 0.1%

num_file_creations
Real number (ℝ)

SKEWED  ZEROS 

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.012669382
Minimum0
Maximum43
Zeros125686
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:03.083017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.48393507
Coefficient of variation (CV)38.197213
Kurtosis3603.3117
Mean0.012669382
Median Absolute Deviation (MAD)0
Skewness55.665341
Sum1596
Variance0.23419315
MonotonicityNot monotonic
2023-09-05T14:48:03.202016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 125686
99.8%
1 151
 
0.1%
2 41
 
< 0.1%
4 13
 
< 0.1%
3 5
 
< 0.1%
8 5
 
< 0.1%
15 5
 
< 0.1%
10 5
 
< 0.1%
5 5
 
< 0.1%
17 5
 
< 0.1%
Other values (25) 52
 
< 0.1%
ValueCountFrequency (%)
0 125686
99.8%
1 151
 
0.1%
2 41
 
< 0.1%
3 5
 
< 0.1%
4 13
 
< 0.1%
5 5
 
< 0.1%
6 3
 
< 0.1%
7 4
 
< 0.1%
8 5
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
43 1
 
< 0.1%
40 3
< 0.1%
38 1
 
< 0.1%
36 1
 
< 0.1%
34 1
 
< 0.1%
33 1
 
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 3
< 0.1%

num_shells
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
125926 
1
 
42
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 125926
> 99.9%
1 42
 
< 0.1%
2 5
 
< 0.1%

Length

2023-09-05T14:48:03.316018image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:03.421016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 125926
> 99.9%
1 42
 
< 0.1%
2 5
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 125926
> 99.9%
1 42
 
< 0.1%
2 5
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125926
> 99.9%
1 42
 
< 0.1%
2 5
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125926
> 99.9%
1 42
 
< 0.1%
2 5
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125926
> 99.9%
1 42
 
< 0.1%
2 5
 
< 0.1%

num_access_files
Real number (ℝ)

SKEWED  ZEROS 

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0040961158
Minimum0
Maximum9
Zeros125602
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:03.509017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.099369556
Coefficient of variation (CV)24.259459
Kurtosis2862.8044
Mean0.0040961158
Median Absolute Deviation (MAD)0
Skewness45.554961
Sum516
Variance0.0098743086
MonotonicityNot monotonic
2023-09-05T14:48:03.599019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 125602
99.7%
1 313
 
0.2%
2 29
 
< 0.1%
3 8
 
< 0.1%
5 6
 
< 0.1%
4 5
 
< 0.1%
6 4
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 125602
99.7%
1 313
 
0.2%
2 29
 
< 0.1%
3 8
 
< 0.1%
4 5
 
< 0.1%
5 6
 
< 0.1%
6 4
 
< 0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
8 3
 
< 0.1%
7 2
 
< 0.1%
6 4
 
< 0.1%
5 6
 
< 0.1%
4 5
 
< 0.1%
3 8
 
< 0.1%
2 29
 
< 0.1%
1 313
 
0.2%
0 125602
99.7%

is_host_login
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
125972 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 125972
> 99.9%
1 1
 
< 0.1%

Length

2023-09-05T14:48:03.701094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:03.801668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 125972
> 99.9%
1 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 125972
> 99.9%
1 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125972
> 99.9%
1 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 125972
> 99.9%
1 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 125972
> 99.9%
1 1
 
< 0.1%

is_guest_login
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
124786 
1
 
1187

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 124786
99.1%
1 1187
 
0.9%

Length

2023-09-05T14:48:03.892638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:03.993412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 124786
99.1%
1 1187
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 124786
99.1%
1 1187
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 124786
99.1%
1 1187
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 124786
99.1%
1 1187
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 124786
99.1%
1 1187
 
0.9%

count
Real number (ℝ)

HIGH CORRELATION 

Distinct512
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.107555
Minimum0
Maximum511
Zeros13
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:04.100412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median14
Q3143
95-th percentile286
Maximum511
Range511
Interquartile range (IQR)141

Descriptive statistics

Standard deviation114.50861
Coefficient of variation (CV)1.3614545
Kurtosis2.0069166
Mean84.107555
Median Absolute Deviation (MAD)13
Skewness1.5142745
Sum10595281
Variance13112.221
MonotonicityNot monotonic
2023-09-05T14:48:04.248413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27763
22.0%
2 9474
 
7.5%
3 3962
 
3.1%
4 3550
 
2.8%
5 2980
 
2.4%
6 2413
 
1.9%
7 2325
 
1.8%
8 1902
 
1.5%
9 1712
 
1.4%
10 1610
 
1.3%
Other values (502) 68282
54.2%
ValueCountFrequency (%)
0 13
 
< 0.1%
1 27763
22.0%
2 9474
 
7.5%
3 3962
 
3.1%
4 3550
 
2.8%
5 2980
 
2.4%
6 2413
 
1.9%
7 2325
 
1.8%
8 1902
 
1.5%
9 1712
 
1.4%
ValueCountFrequency (%)
511 1437
1.1%
510 307
 
0.2%
509 243
 
0.2%
508 31
 
< 0.1%
507 6
 
< 0.1%
506 3
 
< 0.1%
505 2
 
< 0.1%
504 3
 
< 0.1%
503 4
 
< 0.1%
502 5
 
< 0.1%

srv_count
Real number (ℝ)

HIGH CORRELATION 

Distinct509
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.737888
Minimum0
Maximum511
Zeros13
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:04.386412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median8
Q318
95-th percentile158
Maximum511
Range511
Interquartile range (IQR)16

Descriptive statistics

Standard deviation72.63584
Coefficient of variation (CV)2.6186507
Kurtosis24.244484
Mean27.737888
Median Absolute Deviation (MAD)7
Skewness4.6941619
Sum3494225
Variance5275.9652
MonotonicityNot monotonic
2023-09-05T14:48:04.536218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 25398
20.2%
2 12820
 
10.2%
3 6336
 
5.0%
4 5526
 
4.4%
5 4636
 
3.7%
6 4156
 
3.3%
7 3992
 
3.2%
8 3697
 
2.9%
9 3528
 
2.8%
11 3293
 
2.6%
Other values (499) 52591
41.7%
ValueCountFrequency (%)
0 13
 
< 0.1%
1 25398
20.2%
2 12820
10.2%
3 6336
 
5.0%
4 5526
 
4.4%
5 4636
 
3.7%
6 4156
 
3.3%
7 3992
 
3.2%
8 3697
 
2.9%
9 3528
 
2.8%
ValueCountFrequency (%)
511 1012
0.8%
510 160
 
0.1%
509 49
 
< 0.1%
508 11
 
< 0.1%
507 3
 
< 0.1%
503 1
 
< 0.1%
502 2
 
< 0.1%
501 1
 
< 0.1%
500 2
 
< 0.1%
499 2
 
< 0.1%

serror_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28448453
Minimum0
Maximum1
Zeros86829
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:04.684217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.44645562
Coefficient of variation (CV)1.5693494
Kurtosis-1.0546041
Mean0.28448453
Median Absolute Deviation (MAD)0
Skewness0.96320051
Sum35837.37
Variance0.19932262
MonotonicityNot monotonic
2023-09-05T14:48:04.832039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86829
68.9%
1 34439
 
27.3%
0.5 493
 
0.4%
0.33 321
 
0.3%
0.07 305
 
0.2%
0.06 298
 
0.2%
0.08 254
 
0.2%
0.99 250
 
0.2%
0.01 216
 
0.2%
0.25 208
 
0.2%
Other values (79) 2360
 
1.9%
ValueCountFrequency (%)
0 86829
68.9%
0.01 216
 
0.2%
0.02 84
 
0.1%
0.03 150
 
0.1%
0.04 131
 
0.1%
0.05 192
 
0.2%
0.06 298
 
0.2%
0.07 305
 
0.2%
0.08 254
 
0.2%
0.09 189
 
0.2%
ValueCountFrequency (%)
1 34439
27.3%
0.99 250
 
0.2%
0.98 64
 
0.1%
0.97 79
 
0.1%
0.96 41
 
< 0.1%
0.95 29
 
< 0.1%
0.94 25
 
< 0.1%
0.93 18
 
< 0.1%
0.92 15
 
< 0.1%
0.91 8
 
< 0.1%

srv_serror_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28248537
Minimum0
Maximum1
Zeros88754
Zeros (%)70.5%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:04.970619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4470225
Coefficient of variation (CV)1.5824625
Kurtosis-1.0442938
Mean0.28248537
Median Absolute Deviation (MAD)0
Skewness0.97059724
Sum35585.53
Variance0.19982911
MonotonicityNot monotonic
2023-09-05T14:48:05.112858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88754
70.5%
1 34874
 
27.7%
0.5 432
 
0.3%
0.33 273
 
0.2%
0.25 233
 
0.2%
0.2 132
 
0.1%
0.17 114
 
0.1%
0.05 93
 
0.1%
0.03 92
 
0.1%
0.04 83
 
0.1%
Other values (76) 893
 
0.7%
ValueCountFrequency (%)
0 88754
70.5%
0.01 6
 
< 0.1%
0.02 60
 
< 0.1%
0.03 92
 
0.1%
0.04 83
 
0.1%
0.05 93
 
0.1%
0.06 65
 
0.1%
0.07 67
 
0.1%
0.08 63
 
0.1%
0.09 44
 
< 0.1%
ValueCountFrequency (%)
1 34874
27.7%
0.96 1
 
< 0.1%
0.95 40
 
< 0.1%
0.94 13
 
< 0.1%
0.93 8
 
< 0.1%
0.92 12
 
< 0.1%
0.91 16
 
< 0.1%
0.9 10
 
< 0.1%
0.89 12
 
< 0.1%
0.88 11
 
< 0.1%

rerror_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11995848
Minimum0
Maximum1
Zeros109783
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:05.258858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.32043552
Coefficient of variation (CV)2.6712202
Kurtosis3.4458471
Mean0.11995848
Median Absolute Deviation (MAD)0
Skewness2.3255316
Sum15111.53
Variance0.10267892
MonotonicityNot monotonic
2023-09-05T14:48:05.413860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109783
87.1%
1 12874
 
10.2%
0.9 269
 
0.2%
0.92 216
 
0.2%
0.93 210
 
0.2%
0.89 196
 
0.2%
0.91 187
 
0.1%
0.5 163
 
0.1%
0.88 141
 
0.1%
0.95 137
 
0.1%
Other values (72) 1797
 
1.4%
ValueCountFrequency (%)
0 109783
87.1%
0.01 61
 
< 0.1%
0.02 77
 
0.1%
0.03 99
 
0.1%
0.04 55
 
< 0.1%
0.05 37
 
< 0.1%
0.06 25
 
< 0.1%
0.07 23
 
< 0.1%
0.08 23
 
< 0.1%
0.09 10
 
< 0.1%
ValueCountFrequency (%)
1 12874
10.2%
0.99 23
 
< 0.1%
0.98 17
 
< 0.1%
0.97 32
 
< 0.1%
0.96 72
 
0.1%
0.95 137
 
0.1%
0.94 121
 
0.1%
0.93 210
 
0.2%
0.92 216
 
0.2%
0.91 187
 
0.1%

srv_rerror_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct62
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12118327
Minimum0
Maximum1
Zeros109767
Zeros (%)87.1%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:05.563862image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.32364723
Coefficient of variation (CV)2.6707253
Kurtosis3.4458342
Mean0.12118327
Median Absolute Deviation (MAD)0
Skewness2.3270328
Sum15265.82
Variance0.10474753
MonotonicityNot monotonic
2023-09-05T14:48:05.714864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109767
87.1%
1 14827
 
11.8%
0.5 244
 
0.2%
0.33 160
 
0.1%
0.25 114
 
0.1%
0.2 92
 
0.1%
0.17 73
 
0.1%
0.04 50
 
< 0.1%
0.03 47
 
< 0.1%
0.14 45
 
< 0.1%
Other values (52) 554
 
0.4%
ValueCountFrequency (%)
0 109767
87.1%
0.01 3
 
< 0.1%
0.02 40
 
< 0.1%
0.03 47
 
< 0.1%
0.04 50
 
< 0.1%
0.05 42
 
< 0.1%
0.06 33
 
< 0.1%
0.07 27
 
< 0.1%
0.08 40
 
< 0.1%
0.09 24
 
< 0.1%
ValueCountFrequency (%)
1 14827
11.8%
0.96 2
 
< 0.1%
0.95 1
 
< 0.1%
0.92 2
 
< 0.1%
0.9 1
 
< 0.1%
0.89 3
 
< 0.1%
0.88 4
 
< 0.1%
0.87 3
 
< 0.1%
0.86 5
 
< 0.1%
0.85 10
 
< 0.1%

same_srv_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66092766
Minimum0
Maximum1
Zeros2766
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:05.858861image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.09
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.91

Descriptive statistics

Standard deviation0.43962286
Coefficient of variation (CV)0.66516033
Kurtosis-1.6097658
Mean0.66092766
Median Absolute Deviation (MAD)0
Skewness-0.57249948
Sum83259.04
Variance0.19326826
MonotonicityNot monotonic
2023-09-05T14:48:06.022026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 76812
61.0%
0.01 4027
 
3.2%
0.02 3616
 
2.9%
0.03 3503
 
2.8%
0.07 3438
 
2.7%
0.04 3227
 
2.6%
0.06 3220
 
2.6%
0.05 3088
 
2.5%
0.08 2815
 
2.2%
0 2766
 
2.2%
Other values (91) 19461
 
15.4%
ValueCountFrequency (%)
0 2766
2.2%
0.01 4027
3.2%
0.02 3616
2.9%
0.03 3503
2.8%
0.04 3227
2.6%
0.05 3088
2.5%
0.06 3220
2.6%
0.07 3438
2.7%
0.08 2815
2.2%
0.09 1957
1.6%
ValueCountFrequency (%)
1 76812
61.0%
0.99 759
 
0.6%
0.98 97
 
0.1%
0.97 44
 
< 0.1%
0.96 16
 
< 0.1%
0.95 14
 
< 0.1%
0.94 21
 
< 0.1%
0.93 33
 
< 0.1%
0.92 43
 
< 0.1%
0.91 25
 
< 0.1%

diff_srv_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.063052638
Minimum0
Maximum1
Zeros76217
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:06.165017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.06
95-th percentile0.29
Maximum1
Range1
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.18031441
Coefficient of variation (CV)2.8597441
Kurtosis18.899472
Mean0.063052638
Median Absolute Deviation (MAD)0
Skewness4.3798154
Sum7942.93
Variance0.032513286
MonotonicityNot monotonic
2023-09-05T14:48:06.306016image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 76217
60.5%
0.06 18998
 
15.1%
0.07 9515
 
7.6%
0.05 6887
 
5.5%
1 3438
 
2.7%
0.08 1883
 
1.5%
0.01 1013
 
0.8%
0.09 645
 
0.5%
0.04 627
 
0.5%
0.5 549
 
0.4%
Other values (85) 6201
 
4.9%
ValueCountFrequency (%)
0 76217
60.5%
0.01 1013
 
0.8%
0.02 264
 
0.2%
0.03 282
 
0.2%
0.04 627
 
0.5%
0.05 6887
 
5.5%
0.06 18998
 
15.1%
0.07 9515
 
7.6%
0.08 1883
 
1.5%
0.09 645
 
0.5%
ValueCountFrequency (%)
1 3438
2.7%
0.99 39
 
< 0.1%
0.98 6
 
< 0.1%
0.97 7
 
< 0.1%
0.96 29
 
< 0.1%
0.95 39
 
< 0.1%
0.92 2
 
< 0.1%
0.91 1
 
< 0.1%
0.9 1
 
< 0.1%
0.89 1
 
< 0.1%

srv_diff_host_rate
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.097321648
Minimum0
Maximum1
Zeros97574
Zeros (%)77.5%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:07.249849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2598305
Coefficient of variation (CV)2.6698119
Kurtosis6.8163072
Mean0.097321648
Median Absolute Deviation (MAD)0
Skewness2.8603545
Sum12259.9
Variance0.067511888
MonotonicityNot monotonic
2023-09-05T14:48:07.401885image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 97574
77.5%
1 8143
 
6.5%
0.01 2865
 
2.3%
0.5 982
 
0.8%
0.67 975
 
0.8%
0.12 904
 
0.7%
0.33 790
 
0.6%
0.02 771
 
0.6%
0.11 732
 
0.6%
0.25 724
 
0.6%
Other values (50) 11513
 
9.1%
ValueCountFrequency (%)
0 97574
77.5%
0.01 2865
 
2.3%
0.02 771
 
0.6%
0.03 218
 
0.2%
0.04 187
 
0.1%
0.05 325
 
0.3%
0.06 520
 
0.4%
0.07 519
 
0.4%
0.08 653
 
0.5%
0.09 618
 
0.5%
ValueCountFrequency (%)
1 8143
6.5%
0.88 1
 
< 0.1%
0.83 7
 
< 0.1%
0.8 60
 
< 0.1%
0.75 235
 
0.2%
0.71 9
 
< 0.1%
0.67 975
 
0.8%
0.62 7
 
< 0.1%
0.6 178
 
0.1%
0.57 33
 
< 0.1%

dst_host_count
Real number (ℝ)

HIGH CORRELATION 

Distinct256
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.14894
Minimum0
Maximum255
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:07.556883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q182
median255
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)173

Descriptive statistics

Standard deviation99.206213
Coefficient of variation (CV)0.54464336
Kurtosis-1.0657728
Mean182.14894
Median Absolute Deviation (MAD)0
Skewness-0.83343768
Sum22945849
Variance9841.8727
MonotonicityNot monotonic
2023-09-05T14:48:07.709899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
255 74099
58.8%
1 3119
 
2.5%
2 2733
 
2.2%
3 1280
 
1.0%
4 1198
 
1.0%
5 723
 
0.6%
6 701
 
0.6%
7 645
 
0.5%
8 595
 
0.5%
9 578
 
0.5%
Other values (246) 40302
32.0%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 3119
2.5%
2 2733
2.2%
3 1280
1.0%
4 1198
 
1.0%
5 723
 
0.6%
6 701
 
0.6%
7 645
 
0.5%
8 595
 
0.5%
9 578
 
0.5%
ValueCountFrequency (%)
255 74099
58.8%
254 70
 
0.1%
253 89
 
0.1%
252 77
 
0.1%
251 90
 
0.1%
250 93
 
0.1%
249 78
 
0.1%
248 87
 
0.1%
247 89
 
0.1%
246 83
 
0.1%

dst_host_srv_count
Real number (ℝ)

HIGH CORRELATION 

Distinct256
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.65301
Minimum0
Maximum255
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:07.853850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median63
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)245

Descriptive statistics

Standard deviation110.70274
Coefficient of variation (CV)0.95719727
Kurtosis-1.7563349
Mean115.65301
Median Absolute Deviation (MAD)61
Skewness0.28372119
Sum14569156
Variance12255.097
MonotonicityNot monotonic
2023-09-05T14:48:07.996850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
255 35993
28.6%
1 8449
 
6.7%
2 5161
 
4.1%
3 2768
 
2.2%
4 2488
 
2.0%
5 2336
 
1.9%
20 2300
 
1.8%
254 2238
 
1.8%
6 2222
 
1.8%
19 2190
 
1.7%
Other values (246) 59828
47.5%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 8449
6.7%
2 5161
4.1%
3 2768
 
2.2%
4 2488
 
2.0%
5 2336
 
1.9%
6 2222
 
1.8%
7 2160
 
1.7%
8 2072
 
1.6%
9 1948
 
1.5%
ValueCountFrequency (%)
255 35993
28.6%
254 2238
 
1.8%
253 472
 
0.4%
252 213
 
0.2%
251 402
 
0.3%
250 302
 
0.2%
249 248
 
0.2%
248 205
 
0.2%
247 220
 
0.2%
246 196
 
0.2%

dst_host_same_srv_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52124169
Minimum0
Maximum1
Zeros6927
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:08.132882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05
median0.51
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation0.44894936
Coefficient of variation (CV)0.86130747
Kurtosis-1.8840459
Mean0.52124169
Median Absolute Deviation (MAD)0.49
Skewness-0.010448021
Sum65662.38
Variance0.20155553
MonotonicityNot monotonic
2023-09-05T14:48:08.271883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 49059
38.9%
0.01 7780
 
6.2%
0 6927
 
5.5%
0.02 6593
 
5.2%
0.07 5672
 
4.5%
0.04 5208
 
4.1%
0.05 4951
 
3.9%
0.03 4049
 
3.2%
0.06 3444
 
2.7%
0.08 2816
 
2.2%
Other values (91) 29474
23.4%
ValueCountFrequency (%)
0 6927
5.5%
0.01 7780
6.2%
0.02 6593
5.2%
0.03 4049
3.2%
0.04 5208
4.1%
0.05 4951
3.9%
0.06 3444
2.7%
0.07 5672
4.5%
0.08 2816
 
2.2%
0.09 1740
 
1.4%
ValueCountFrequency (%)
1 49059
38.9%
0.99 688
 
0.5%
0.98 821
 
0.7%
0.97 478
 
0.4%
0.96 675
 
0.5%
0.95 580
 
0.5%
0.94 393
 
0.3%
0.93 457
 
0.4%
0.92 341
 
0.3%
0.91 395
 
0.3%

dst_host_diff_srv_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.082951109
Minimum0
Maximum1
Zeros46989
Zeros (%)37.3%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:08.411876image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.02
Q30.07
95-th percentile0.56
Maximum1
Range1
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.1889218
Coefficient of variation (CV)2.2775078
Kurtosis12.63441
Mean0.082951109
Median Absolute Deviation (MAD)0.02
Skewness3.6096004
Sum10449.6
Variance0.035691446
MonotonicityNot monotonic
2023-09-05T14:48:08.547850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46989
37.3%
0.07 16570
 
13.2%
0.06 9787
 
7.8%
0.01 9295
 
7.4%
0.05 7321
 
5.8%
0.08 7001
 
5.6%
0.02 6716
 
5.3%
0.03 3563
 
2.8%
0.04 3091
 
2.5%
0.09 2569
 
2.0%
Other values (91) 13071
 
10.4%
ValueCountFrequency (%)
0 46989
37.3%
0.01 9295
 
7.4%
0.02 6716
 
5.3%
0.03 3563
 
2.8%
0.04 3091
 
2.5%
0.05 7321
 
5.8%
0.06 9787
 
7.8%
0.07 16570
 
13.2%
0.08 7001
 
5.6%
0.09 2569
 
2.0%
ValueCountFrequency (%)
1 2139
1.7%
0.99 31
 
< 0.1%
0.98 35
 
< 0.1%
0.97 86
 
0.1%
0.96 63
 
0.1%
0.95 87
 
0.1%
0.94 45
 
< 0.1%
0.93 54
 
< 0.1%
0.92 40
 
< 0.1%
0.91 86
 
0.1%

dst_host_same_src_port_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14837886
Minimum0
Maximum1
Zeros63023
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:08.689059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.06
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.30899713
Coefficient of variation (CV)2.0824876
Kurtosis2.7624021
Mean0.14837886
Median Absolute Deviation (MAD)0
Skewness2.0870394
Sum18691.73
Variance0.095479227
MonotonicityNot monotonic
2023-09-05T14:48:08.828026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63023
50.0%
0.01 17657
 
14.0%
1 10307
 
8.2%
0.02 5743
 
4.6%
0.03 3278
 
2.6%
0.04 2096
 
1.7%
0.05 1664
 
1.3%
0.06 1299
 
1.0%
0.08 1086
 
0.9%
0.5 1077
 
0.9%
Other values (91) 18743
 
14.9%
ValueCountFrequency (%)
0 63023
50.0%
0.01 17657
 
14.0%
0.02 5743
 
4.6%
0.03 3278
 
2.6%
0.04 2096
 
1.7%
0.05 1664
 
1.3%
0.06 1299
 
1.0%
0.07 1051
 
0.8%
0.08 1086
 
0.9%
0.09 712
 
0.6%
ValueCountFrequency (%)
1 10307
8.2%
0.99 139
 
0.1%
0.98 192
 
0.2%
0.97 145
 
0.1%
0.96 229
 
0.2%
0.95 220
 
0.2%
0.94 113
 
0.1%
0.93 159
 
0.1%
0.92 124
 
0.1%
0.91 149
 
0.1%

dst_host_srv_diff_host_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03254245
Minimum0
Maximum1
Zeros86904
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:08.966068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.18
Maximum1
Range1
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.1125638
Coefficient of variation (CV)3.4589838
Kurtosis35.773236
Mean0.03254245
Median Absolute Deviation (MAD)0
Skewness5.5481745
Sum4099.47
Variance0.01267061
MonotonicityNot monotonic
2023-09-05T14:48:09.105060image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 86904
69.0%
0.02 7952
 
6.3%
0.01 7146
 
5.7%
0.03 4723
 
3.7%
0.04 4518
 
3.6%
0.05 3048
 
2.4%
0.5 1550
 
1.2%
0.06 1330
 
1.1%
0.07 1036
 
0.8%
0.25 951
 
0.8%
Other values (65) 6815
 
5.4%
ValueCountFrequency (%)
0 86904
69.0%
0.01 7146
 
5.7%
0.02 7952
 
6.3%
0.03 4723
 
3.7%
0.04 4518
 
3.6%
0.05 3048
 
2.4%
0.06 1330
 
1.1%
0.07 1036
 
0.8%
0.08 488
 
0.4%
0.09 414
 
0.3%
ValueCountFrequency (%)
1 691
0.5%
0.97 2
 
< 0.1%
0.93 1
 
< 0.1%
0.88 1
 
< 0.1%
0.86 2
 
< 0.1%
0.83 2
 
< 0.1%
0.8 4
 
< 0.1%
0.78 1
 
< 0.1%
0.75 17
 
< 0.1%
0.73 2
 
< 0.1%

dst_host_serror_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28445246
Minimum0
Maximum1
Zeros81386
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:09.247062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.44478405
Coefficient of variation (CV)1.5636499
Kurtosis-1.0469956
Mean0.28445246
Median Absolute Deviation (MAD)0
Skewness0.96595232
Sum35833.33
Variance0.19783285
MonotonicityNot monotonic
2023-09-05T14:48:09.388059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81386
64.6%
1 33562
26.6%
0.01 3345
 
2.7%
0.02 1158
 
0.9%
0.03 711
 
0.6%
0.09 419
 
0.3%
0.08 413
 
0.3%
0.04 372
 
0.3%
0.99 304
 
0.2%
0.05 298
 
0.2%
Other values (91) 4005
 
3.2%
ValueCountFrequency (%)
0 81386
64.6%
0.01 3345
 
2.7%
0.02 1158
 
0.9%
0.03 711
 
0.6%
0.04 372
 
0.3%
0.05 298
 
0.2%
0.06 174
 
0.1%
0.07 197
 
0.2%
0.08 413
 
0.3%
0.09 419
 
0.3%
ValueCountFrequency (%)
1 33562
26.6%
0.99 304
 
0.2%
0.98 169
 
0.1%
0.97 100
 
0.1%
0.96 102
 
0.1%
0.95 71
 
0.1%
0.94 87
 
0.1%
0.93 76
 
0.1%
0.92 53
 
< 0.1%
0.91 48
 
< 0.1%

dst_host_srv_serror_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27848452
Minimum0
Maximum1
Zeros85360
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:09.525059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.44566912
Coefficient of variation (CV)1.6003372
Kurtosis-1.007992
Mean0.27848452
Median Absolute Deviation (MAD)0
Skewness0.99173363
Sum35081.53
Variance0.19862097
MonotonicityNot monotonic
2023-09-05T14:48:09.662059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85360
67.8%
1 34256
27.2%
0.01 3762
 
3.0%
0.02 640
 
0.5%
0.03 160
 
0.1%
0.04 111
 
0.1%
0.5 107
 
0.1%
0.05 76
 
0.1%
0.08 72
 
0.1%
0.07 71
 
0.1%
Other values (90) 1358
 
1.1%
ValueCountFrequency (%)
0 85360
67.8%
0.01 3762
 
3.0%
0.02 640
 
0.5%
0.03 160
 
0.1%
0.04 111
 
0.1%
0.05 76
 
0.1%
0.06 53
 
< 0.1%
0.07 71
 
0.1%
0.08 72
 
0.1%
0.09 57
 
< 0.1%
ValueCountFrequency (%)
1 34256
27.2%
0.98 53
 
< 0.1%
0.97 56
 
< 0.1%
0.96 44
 
< 0.1%
0.95 26
 
< 0.1%
0.94 22
 
< 0.1%
0.93 20
 
< 0.1%
0.92 26
 
< 0.1%
0.91 20
 
< 0.1%
0.9 15
 
< 0.1%

dst_host_rerror_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11883181
Minimum0
Maximum1
Zeros103178
Zeros (%)81.9%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:09.808025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.30655746
Coefficient of variation (CV)2.5797592
Kurtosis3.6927487
Mean0.11883181
Median Absolute Deviation (MAD)0
Skewness2.3474458
Sum14969.6
Variance0.093977475
MonotonicityNot monotonic
2023-09-05T14:48:09.962934image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 103178
81.9%
1 10298
 
8.2%
0.01 1800
 
1.4%
0.02 1222
 
1.0%
0.03 497
 
0.4%
0.05 409
 
0.3%
0.04 397
 
0.3%
0.91 267
 
0.2%
0.92 257
 
0.2%
0.89 244
 
0.2%
Other values (91) 7404
 
5.9%
ValueCountFrequency (%)
0 103178
81.9%
0.01 1800
 
1.4%
0.02 1222
 
1.0%
0.03 497
 
0.4%
0.04 397
 
0.3%
0.05 409
 
0.3%
0.06 220
 
0.2%
0.07 164
 
0.1%
0.08 147
 
0.1%
0.09 104
 
0.1%
ValueCountFrequency (%)
1 10298
8.2%
0.99 52
 
< 0.1%
0.98 68
 
0.1%
0.97 106
 
0.1%
0.96 168
 
0.1%
0.95 123
 
0.1%
0.94 135
 
0.1%
0.93 111
 
0.1%
0.92 257
 
0.2%
0.91 267
 
0.2%

dst_host_srv_rerror_rate
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct101
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12023989
Minimum0
Maximum1
Zeros106616
Zeros (%)84.6%
Negative0
Negative (%)0.0%
Memory size984.3 KiB
2023-09-05T14:48:10.109927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.31945939
Coefficient of variation (CV)2.6568503
Kurtosis3.5206619
Mean0.12023989
Median Absolute Deviation (MAD)0
Skewness2.3379263
Sum15146.98
Variance0.1020543
MonotonicityNot monotonic
2023-09-05T14:48:10.248927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106616
84.6%
1 13231
 
10.5%
0.01 1390
 
1.1%
0.02 580
 
0.5%
0.03 352
 
0.3%
0.05 351
 
0.3%
0.04 344
 
0.3%
0.98 189
 
0.2%
0.99 188
 
0.1%
0.06 185
 
0.1%
Other values (91) 2547
 
2.0%
ValueCountFrequency (%)
0 106616
84.6%
0.01 1390
 
1.1%
0.02 580
 
0.5%
0.03 352
 
0.3%
0.04 344
 
0.3%
0.05 351
 
0.3%
0.06 185
 
0.1%
0.07 97
 
0.1%
0.08 66
 
0.1%
0.09 39
 
< 0.1%
ValueCountFrequency (%)
1 13231
10.5%
0.99 188
 
0.1%
0.98 189
 
0.2%
0.97 103
 
0.1%
0.96 78
 
0.1%
0.95 73
 
0.1%
0.94 75
 
0.1%
0.93 50
 
< 0.1%
0.92 38
 
< 0.1%
0.91 51
 
< 0.1%

attack
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size984.3 KiB
0
67343 
1
58630 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters125973
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 67343
53.5%
1 58630
46.5%

Length

2023-09-05T14:48:10.363927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-05T14:48:10.466677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 67343
53.5%
1 58630
46.5%

Most occurring characters

ValueCountFrequency (%)
0 67343
53.5%
1 58630
46.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125973
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67343
53.5%
1 58630
46.5%

Most occurring scripts

ValueCountFrequency (%)
Common 125973
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 67343
53.5%
1 58630
46.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125973
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 67343
53.5%
1 58630
46.5%

Interactions

2023-09-05T14:47:52.704240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:38.512205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:43.346107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:48.276051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:52.941309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:57.830512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:02.657483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:07.113429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:11.726190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:16.172416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:20.900968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:25.110987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:29.284481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:34.236535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:38.762204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:43.265388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:47.553078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:52.303819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:56.540124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:00.964900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:05.415065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:09.716389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:14.559675image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:19.075749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:24.049330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:28.561191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:33.216326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:39.049010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-09-05T14:46:42.827360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:47.135019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:51.889233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:56.112578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:00.525315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:04.969942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:09.272363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:14.134671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:18.634794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:23.547122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:28.103159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:32.697613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:37.886411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:43.508598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:47.899311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:52.264241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:56.753519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:43.009087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:47.950999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:52.651274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:57.479440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:02.361464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:06.815383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:11.438174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:15.869401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:20.599950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:24.838409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:28.983462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:33.920511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:38.466528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:42.976370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:47.278060image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:52.027245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:56.255617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:00.670322image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:05.119949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:09.419370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:14.279669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:18.781751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:23.711118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:28.253161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:32.855326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:38.742736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:43.671599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:48.043277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:52.410242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:56.898517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:43.188095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:48.112008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:52.796283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:45:57.647966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:02.509472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:06.965421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:11.584185image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:16.024407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:20.745957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:24.975417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:29.129472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:34.072522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:38.614535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:43.117411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:47.416070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:52.166806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:46:56.395116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:00.816334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:05.266959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:09.568382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:14.416668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:18.932782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:23.873121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:28.410158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:33.044328image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:38.896043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:43.835598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:48.187059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-09-05T14:47:52.561206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2023-09-05T14:48:10.638643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
durationserviceflagsrc_bytesdst_byteshotnum_failed_loginsnum_compromisednum_rootnum_file_creationsnum_access_filescountsrv_countserror_ratesrv_serror_ratererror_ratesrv_rerror_ratesame_srv_ratediff_srv_ratesrv_diff_host_ratedst_host_countdst_host_srv_countdst_host_same_srv_ratedst_host_diff_srv_ratedst_host_same_src_port_ratedst_host_srv_diff_host_ratedst_host_serror_ratedst_host_srv_serror_ratedst_host_rerror_ratedst_host_srv_rerror_rateprotocol_typelandwrong_fragmenturgentlogged_inroot_shellsu_attemptednum_shellsis_host_loginis_guest_loginattack
duration1.0000.1760.1090.2260.1490.2290.0580.0800.0420.0870.048-0.324-0.319-0.185-0.1820.0510.0460.169-0.1400.016-0.067-0.156-0.1400.1960.182-0.027-0.156-0.1530.0650.0690.0820.0000.0000.0090.0650.1630.0470.0000.0000.0190.079
service0.1761.000-0.297-0.165-0.098-0.0690.0300.029-0.0190.0450.0240.034-0.2720.2540.2330.1420.137-0.2990.302-0.2030.138-0.308-0.3650.371-0.148-0.1610.2640.2420.1310.1340.6440.0310.1250.0200.6970.1220.0670.0330.0130.2310.625
flag0.109-0.2971.0000.8220.6640.088-0.0090.0700.0520.0320.040-0.5040.084-0.600-0.563-0.635-0.6230.757-0.6940.367-0.3940.6360.658-0.5850.3980.348-0.562-0.534-0.480-0.5420.2780.0210.0540.0000.6530.0530.0230.0070.0000.0780.775
src_bytes0.226-0.1650.8221.0000.7000.2040.0130.1550.0810.0730.063-0.524-0.053-0.674-0.653-0.363-0.3440.753-0.7050.289-0.4050.6210.617-0.5250.3770.344-0.624-0.609-0.229-0.2590.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.003
dst_bytes0.149-0.0980.6640.7001.0000.2000.0250.171-0.0130.0400.068-0.440-0.017-0.536-0.510-0.300-0.2780.630-0.6080.310-0.3420.7080.667-0.6250.0590.327-0.519-0.483-0.219-0.1860.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.003
hot0.229-0.0690.0880.2040.2001.0000.0930.5150.0090.0530.002-0.153-0.143-0.086-0.083-0.0090.0120.107-0.104-0.028-0.0690.0050.063-0.060-0.002-0.066-0.064-0.0700.0950.0950.0260.0000.0000.0000.0990.0460.0000.0150.0000.8210.031
num_failed_logins0.0580.030-0.0090.0130.0250.0931.0000.0350.0370.0630.003-0.038-0.040-0.018-0.0180.0310.0300.023-0.022-0.017-0.031-0.0190.007-0.0030.015-0.0180.0070.0080.0300.0290.0080.0000.0000.2110.0150.0440.1290.0000.0000.0150.008
num_compromised0.0800.0290.0700.1550.1710.5150.0351.0000.1650.1120.093-0.087-0.079-0.062-0.060-0.0020.0270.076-0.075-0.014-0.0470.0070.069-0.068-0.002-0.053-0.031-0.0280.1250.1480.0000.0000.0000.0860.0100.2430.0000.0000.0000.0000.007
num_root0.042-0.0190.0520.081-0.0130.0090.0370.1651.0000.1110.101-0.080-0.080-0.043-0.041-0.025-0.0260.050-0.044-0.027-0.054-0.031-0.0210.0390.0610.035-0.032-0.023-0.011-0.0130.0000.0000.0000.0710.0130.2880.0000.0000.0000.0000.009
num_file_creations0.0870.0450.0320.0730.0400.0530.0630.1120.1111.0000.062-0.052-0.051-0.022-0.024-0.015-0.0150.031-0.029-0.008-0.021-0.021-0.0100.0190.0160.002-0.001-0.0070.0010.0020.0000.0000.0000.0860.0290.1110.2230.0760.0000.0040.020
num_access_files0.0480.0240.0400.0630.0680.0020.0030.0930.1010.0621.000-0.054-0.044-0.032-0.030-0.019-0.0080.040-0.0390.009-0.0000.0120.0110.002-0.015-0.012-0.023-0.023-0.010-0.0070.0160.0000.0000.0170.0670.4070.0850.0260.0000.0000.047
count-0.3240.034-0.504-0.524-0.440-0.153-0.038-0.087-0.080-0.052-0.0541.0000.5190.5780.5420.0710.065-0.7200.617-0.3250.620-0.325-0.4290.362-0.546-0.5310.5360.5050.0220.0240.2810.0060.1100.0000.6490.0280.0060.0070.0000.0790.653
srv_count-0.319-0.2720.084-0.053-0.017-0.143-0.040-0.079-0.080-0.051-0.0440.5191.0000.0730.108-0.208-0.2080.032-0.0390.2350.2180.3000.257-0.241-0.197-0.1220.0460.080-0.213-0.2200.5470.0000.2680.0000.2290.0070.0000.0000.0000.0290.214
serror_rate-0.1850.254-0.600-0.674-0.536-0.086-0.018-0.062-0.043-0.022-0.0320.5780.0731.0000.973-0.174-0.179-0.7550.674-0.3250.430-0.523-0.5730.485-0.485-0.3890.9360.922-0.227-0.2060.2170.0230.1380.0000.4940.0170.0000.0030.0000.0610.655
srv_serror_rate-0.1820.233-0.563-0.653-0.510-0.083-0.018-0.060-0.041-0.024-0.0300.5420.1080.9731.000-0.222-0.237-0.7060.625-0.3050.411-0.479-0.5280.439-0.471-0.3690.9190.942-0.276-0.2590.2150.0210.0410.0000.4960.0160.0000.0020.0000.0600.655
rerror_rate0.0510.142-0.635-0.363-0.300-0.0090.031-0.002-0.025-0.015-0.0190.071-0.208-0.174-0.2221.0000.966-0.2230.234-0.1490.083-0.312-0.2920.288-0.014-0.078-0.179-0.2240.8390.8840.1270.0240.0240.0000.2900.0120.0000.0000.0000.0350.258
srv_rerror_rate0.0460.137-0.623-0.344-0.2780.0120.0300.027-0.026-0.015-0.0080.065-0.208-0.179-0.2370.9661.000-0.2100.213-0.1210.075-0.297-0.2750.273-0.020-0.075-0.187-0.2380.8310.8940.1280.0000.0240.0000.2930.0060.0000.0000.0000.0350.258
same_srv_rate0.169-0.2990.7570.7530.6300.1070.0230.0760.0500.0310.040-0.7200.032-0.755-0.706-0.223-0.2101.000-0.9200.385-0.5410.6990.758-0.6510.5250.488-0.717-0.678-0.144-0.1570.2110.0060.0450.0000.6060.0270.0060.0070.0000.0720.754
diff_srv_rate-0.1400.302-0.694-0.705-0.608-0.104-0.022-0.075-0.044-0.029-0.0390.617-0.0390.6740.6250.2340.213-0.9201.000-0.3760.526-0.668-0.7270.646-0.443-0.4820.6450.5970.1560.1600.1190.0000.0160.0000.1740.0000.0000.0000.0000.0170.154
srv_diff_host_rate0.016-0.2030.3670.2890.310-0.028-0.017-0.014-0.027-0.0080.009-0.3250.235-0.325-0.305-0.149-0.1210.385-0.3761.000-0.3110.3960.442-0.4040.1600.342-0.327-0.301-0.136-0.1250.2780.0410.1070.0000.3350.0110.0000.0000.0000.0400.293
dst_host_count-0.0670.138-0.394-0.405-0.342-0.069-0.031-0.047-0.054-0.021-0.0000.6200.2180.4300.4110.0830.075-0.5410.526-0.3111.000-0.350-0.5320.435-0.693-0.8380.4230.3800.0520.0300.2290.0330.0520.0050.4640.0300.0070.0150.0000.0740.447
dst_host_srv_count-0.156-0.3080.6360.6210.7080.005-0.0190.007-0.031-0.0210.012-0.3250.300-0.523-0.479-0.312-0.2970.699-0.6680.396-0.3501.0000.919-0.8410.1520.448-0.528-0.469-0.265-0.2490.2530.0140.1190.0000.6490.0080.0150.0220.0000.1630.740
dst_host_same_srv_rate-0.140-0.3650.6580.6170.6670.0630.0070.069-0.021-0.0100.011-0.4290.257-0.573-0.528-0.292-0.2750.758-0.7270.442-0.5320.9191.000-0.8990.3050.539-0.582-0.515-0.247-0.2200.2190.0100.1350.0040.6300.0270.0270.0250.0000.2410.723
dst_host_diff_srv_rate0.1960.371-0.585-0.525-0.625-0.060-0.003-0.0680.0390.0190.0020.362-0.2410.4850.4390.2880.273-0.6510.646-0.4040.435-0.841-0.8991.000-0.213-0.4900.5050.4340.2680.2240.1730.0070.0750.0110.1760.0100.0060.0000.0270.0300.164
dst_host_same_src_port_rate0.182-0.1480.3980.3770.059-0.0020.015-0.0020.0610.016-0.015-0.546-0.197-0.485-0.471-0.014-0.0200.525-0.4430.160-0.6930.1520.305-0.2131.0000.561-0.455-0.4500.039-0.0080.4360.0370.1490.0040.2120.0060.0000.0310.0000.0390.211
dst_host_srv_diff_host_rate-0.027-0.1610.3480.3440.327-0.066-0.018-0.0530.0350.002-0.012-0.531-0.122-0.389-0.369-0.078-0.0750.488-0.4820.342-0.8380.4480.539-0.4900.5611.000-0.385-0.340-0.062-0.0380.4390.1010.0540.1030.1440.0280.0000.0000.0000.0200.178
dst_host_serror_rate-0.1560.264-0.562-0.624-0.519-0.0640.007-0.031-0.032-0.001-0.0230.5360.0460.9360.919-0.179-0.187-0.7170.645-0.3270.423-0.528-0.5820.505-0.455-0.3851.0000.919-0.195-0.2060.2130.0230.0790.0000.4970.0280.0390.0160.0680.0620.659
dst_host_srv_serror_rate-0.1530.242-0.534-0.609-0.483-0.0700.008-0.028-0.023-0.007-0.0230.5050.0800.9220.942-0.224-0.238-0.6780.597-0.3010.380-0.469-0.5150.434-0.450-0.3400.9191.000-0.272-0.2500.2110.1010.0410.0000.4960.0680.0680.0530.0630.0610.657
dst_host_rerror_rate0.0650.131-0.480-0.229-0.2190.0950.0300.125-0.0110.001-0.0100.022-0.213-0.227-0.2760.8390.831-0.1440.156-0.1360.052-0.265-0.2470.2680.039-0.062-0.195-0.2721.0000.8800.1240.0000.1520.0000.2780.0170.0000.0060.0000.0330.257
dst_host_srv_rerror_rate0.0690.134-0.542-0.259-0.1860.0950.0290.148-0.0130.002-0.0070.024-0.220-0.206-0.2590.8840.894-0.1570.160-0.1250.030-0.249-0.2200.224-0.008-0.038-0.206-0.2500.8801.0000.1280.0000.0240.0000.2830.0790.0590.0000.0000.0510.286
protocol_type0.0820.6440.2780.0000.0000.0260.0080.0000.0000.0000.0160.2810.5470.2170.2150.1270.1280.2110.1190.2780.2290.2530.2190.1730.4360.4390.2130.2110.1240.1281.0000.0050.1920.0000.3850.0170.0050.0050.0000.0460.282
land0.0000.0310.0210.0000.0000.0000.0000.0000.0000.0000.0000.0060.0000.0230.0210.0240.0000.0060.0000.0410.0330.0140.0100.0070.0370.1010.0230.1010.0000.0000.0051.0000.0000.0000.0100.0000.0000.0000.0000.0000.006
wrong_fragment0.0000.1250.0540.0000.0000.0000.0000.0000.0000.0000.0000.1100.2680.1380.0410.0240.0240.0450.0160.1070.0520.1190.1350.0750.1490.0540.0790.0410.1520.0240.1920.0001.0000.0000.0760.0000.0000.0000.0000.0080.100
urgent0.0090.0200.0000.0000.0000.0000.2110.0860.0710.0860.0170.0000.0000.0000.0000.0000.0000.0000.0000.0000.0050.0000.0040.0110.0040.1030.0000.0000.0000.0000.0000.0000.0001.0000.0070.1120.0000.0000.0000.0000.000
logged_in0.0650.6970.6530.0000.0000.0990.0150.0100.0130.0290.0670.6490.2290.4940.4960.2900.2930.6060.1740.3350.4640.6490.6300.1760.2120.1440.4970.4960.2780.2830.3850.0100.0760.0071.0000.0450.0150.0240.0000.1200.690
root_shell0.1630.1220.0530.0000.0000.0460.0440.2430.2880.1110.4070.0280.0070.0170.0160.0120.0060.0270.0000.0110.0300.0080.0270.0100.0060.0280.0280.0680.0170.0790.0170.0000.0000.1120.0451.0000.1420.1450.0000.0000.020
su_attempted0.0470.0670.0230.0000.0000.0000.1290.0000.0000.2230.0850.0060.0000.0000.0000.0000.0000.0060.0000.0000.0070.0150.0270.0060.0000.0000.0390.0680.0000.0590.0050.0000.0000.0000.0150.1421.0000.0330.0000.0000.010
num_shells0.0000.0330.0070.0000.0000.0150.0000.0000.0000.0760.0260.0070.0000.0030.0020.0000.0000.0070.0000.0000.0150.0220.0250.0000.0310.0000.0160.0530.0060.0000.0050.0000.0000.0000.0240.1450.0331.0000.0000.0000.012
is_host_login0.0000.0130.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0000.0680.0630.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.000
is_guest_login0.0190.2310.0780.0000.0000.8210.0150.0000.0000.0040.0000.0790.0290.0610.0600.0350.0350.0720.0170.0400.0740.1630.2410.0300.0390.0200.0620.0610.0330.0510.0460.0000.0080.0000.1200.0000.0000.0000.0001.0000.039
attack0.0790.6250.7750.0030.0030.0310.0080.0070.0090.0200.0470.6530.2140.6550.6550.2580.2580.7540.1540.2930.4470.7400.7230.1640.2110.1780.6590.6570.2570.2860.2820.0060.1000.0000.6900.0200.0100.0120.0000.0391.000

Missing values

2023-09-05T14:47:57.270252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-05T14:47:58.477362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

durationprotocol_typeserviceflagsrc_bytesdst_byteslandwrong_fragmenturgenthotnum_failed_loginslogged_innum_compromisedroot_shellsu_attemptednum_rootnum_file_creationsnum_shellsnum_access_filesis_host_loginis_guest_logincountsrv_countserror_ratesrv_serror_ratererror_ratesrv_rerror_ratesame_srv_ratediff_srv_ratesrv_diff_host_ratedst_host_countdst_host_srv_countdst_host_same_srv_ratedst_host_diff_srv_ratedst_host_same_src_port_ratedst_host_srv_diff_host_ratedst_host_serror_ratedst_host_srv_serror_ratedst_host_rerror_ratedst_host_srv_rerror_rateattack
001.020.09.04910000000000000000220.00.00.00.01.000.000.00150250.170.030.170.000.000.000.050.000
102.044.09.014600000000000000001310.00.00.00.00.080.150.0025510.000.600.880.000.000.000.000.000
201.049.05.00000000000000000012361.01.00.00.00.050.070.00255260.100.050.000.001.001.000.000.001
301.024.09.02328153000001000000000550.20.20.00.01.000.000.00302551.000.000.030.040.030.010.000.010
401.024.09.019942000000100000000030320.00.00.00.01.000.000.092552551.000.000.000.000.000.000.000.000
501.049.01.000000000000000000121190.00.01.01.00.160.060.00255190.070.070.000.000.000.001.001.001
601.049.05.00000000000000000016691.01.00.00.00.050.060.0025590.040.050.000.001.001.000.000.001
701.049.05.000000000000000000117161.01.00.00.00.140.060.00255150.060.070.000.001.001.000.000.001
801.051.05.000000000000000000270231.01.00.00.00.090.050.00255230.090.050.000.001.001.000.000.001
901.049.05.00000000000000000013381.01.00.00.00.060.060.00255130.050.060.000.001.001.000.000.001
durationprotocol_typeserviceflagsrc_bytesdst_byteslandwrong_fragmenturgenthotnum_failed_loginslogged_innum_compromisedroot_shellsu_attemptednum_rootnum_file_creationsnum_shellsnum_access_filesis_host_loginis_guest_logincountsrv_countserror_ratesrv_serror_ratererror_ratesrv_rerror_ratesame_srv_ratediff_srv_ratesrv_diff_host_ratedst_host_countdst_host_srv_countdst_host_same_srv_ratedst_host_diff_srv_ratedst_host_same_src_port_ratedst_host_srv_diff_host_ratedst_host_serror_ratedst_host_srv_serror_ratedst_host_rerror_ratedst_host_srv_rerror_rateattack
12596301.024.09.03341600000001000000000330.000.000.00.01.000.000.002552551.000.000.000.000.000.00.000.00
12596401.049.05.00000000000000000012891.001.000.00.00.070.050.00255120.050.060.000.001.001.00.000.01
12596501.054.09.02233365000001000000000110.000.000.00.01.000.000.00121.000.001.001.000.000.00.000.00
12596601.049.05.00000000000000000011331.001.000.00.00.030.070.00255130.050.070.000.001.001.00.000.01
12596701.024.09.03593750000010000000003110.330.090.00.01.000.000.1832551.000.000.330.040.330.00.000.00
12596801.049.05.000000000000000000184251.001.000.00.00.140.060.00255250.100.060.000.001.001.00.000.01
12596982.049.09.0105145000000000000000220.000.000.00.01.000.000.002552440.960.010.010.000.000.00.000.00
12597001.054.09.02231384000001000000000110.000.000.00.01.000.000.00255300.120.060.000.000.720.00.010.00
12597101.030.05.00000000000000000014481.001.000.00.00.060.050.0025580.030.050.000.001.001.00.000.01
12597201.020.09.01510000001000000000110.000.000.00.01.000.000.00255770.300.030.300.000.000.00.000.00

Duplicate rows

Most frequently occurring

durationprotocol_typeserviceflagsrc_bytesdst_byteslandwrong_fragmenturgenthotnum_failed_loginslogged_innum_compromisedroot_shellsu_attemptednum_rootnum_file_creationsnum_shellsnum_access_filesis_host_loginis_guest_logincountsrv_countserror_ratesrv_serror_ratererror_ratesrv_rerror_ratesame_srv_ratediff_srv_ratesrv_diff_host_ratedst_host_countdst_host_srv_countdst_host_same_srv_ratedst_host_diff_srv_ratedst_host_same_src_port_ratedst_host_srv_diff_host_ratedst_host_serror_ratedst_host_srv_serror_ratedst_host_rerror_ratedst_host_srv_rerror_rateattack# duplicates
400.015.09.080000000000000000110.00.00.00.01.00.00.0111.00.01.00.00.00.00.00.013
000.014.09.080000000000000000110.00.00.00.01.00.00.0111.00.01.00.00.00.00.00.012
100.014.09.080000000000000000120.00.00.00.01.00.01.0221.00.01.00.00.00.00.00.012
200.014.09.080000000000000000170.00.00.00.01.00.01.0221.00.01.00.00.00.00.00.012
300.014.09.0800000000000000001450.00.00.00.01.00.01.0111.00.01.00.00.00.00.00.012
500.015.09.080000000000000000110.00.00.00.01.00.00.0331.00.01.00.00.00.00.00.012
600.015.09.080000000000000000110.00.00.00.01.00.00.0551.00.01.00.00.00.00.00.012
700.015.09.080000000000000000220.00.00.00.01.00.00.0221.00.01.00.00.00.00.00.012